Natrinema thermophila (KCCM 43222, JCM 30478)

Name: Natrinema thermophila (KCCM 43222, JCM 30478)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163808

Type strain

Culture col. no. KCCM 43222 JCM 30478

Special Collections JCM

History S. W. Roh; Korea Basic Sci. Inst., South Korea; CBA1119.

Natrinema thermophila JCM 30478 is a mesophilic prokaryote that was isolated from Solar salt from a salt field in Korea.

mesophilic genome sequence

Name and taxonomic classification

Culture Collection Numbers

KCCM 43222 JCM 30478

@ref 67770

Phylum Not assigned to order

Class Not assigned to order

Order Not assigned to order

Family Not assigned to family

Genus Natrinema

Species Natrinema thermophila

Full scientific name Natrinema thermophila Kim et al.

Type strain yes

Morphology

Cell morphology

@ref	Motility	Confidence
125438		90

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	94

Isolation, sampling and environmental information

Isolation

67770

Sample typeSolar salt from a salt field in Korea

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM257252v1 assembly for Natrinema sp. CBA1119	contig	GCA_002572525	1608465.3	2995293654	1608465	69.49

GC content

@ref	GC-content (mol%)	Method
67770	62.27	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Natrinema sp. CBA1119
NCBI: GCA_002572525

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	88.30	no
125439	motility	BacteriaNetⓘ	yes	59.10	no
125439	gram_stain	BacteriaNetⓘ	negative	86.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	94.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Natrinema sp. CBA1119 CBA1119
NCBI: GCA_002572525.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	75.19	no
125438	anaerobic	anaerobicⓘ	no	84.16	no
125438	aerobic	aerobicⓘ	yes	83.36	no
125438	spore-forming	spore-formingⓘ	no	84.39	no
125438	thermophilic	thermophileⓘ	no	81.79	yes
125438	flagellated	motile2+ⓘ	no	90.00	no

Literature

References

#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#125438	Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 )
#125439	Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 .

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